Abstract
This paper proposes a general architecture to extract knowledge from graphic documents. The architecture consists of three major components. First, a set of modules able to extract descriptors that, combined with domain-dependent knowledge and recognition strategies, allow to interpret a given graphical document. Second, a representation model based on a graph structure that allows to hierarchically represent the information of the document at different abstraction levels. Finally, the third component implements a calligraphic interface that allows the feedback between the user and the system. The second part of the paper describes an application scenario of the above platform. The scenario is a system for the interpretation of sketches of architectural plans. This is a tool to convert sketches to a CAD representation or to edit a given plan by a sketchy interface. The application scenario combines different symbol recognition algorithms stated in terms of document descriptors to extract building elements such as doors, windows, walls and furniture. © Springer-Verlag 2004.
| Original language | English |
|---|---|
| Pages (from-to) | 389-400 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3163 |
| Publication status | Published - 1 Dec 2004 |
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Cite this
Sánchez, G., Valveny, E., Lladós, J., Mas, J., & Lozano, N. (2004). A platform to extract knowledge from graphic documents. Application to an architectural sketch understanding scenario. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3163, 389-400.